Class to automatic create Convolutional Neural Network in PyTorch
☆15Aug 14, 2021Updated 4 years ago
Alternatives and similar repositories for Dynamic-PyTorch-Net
Users that are interested in Dynamic-PyTorch-Net are comparing it to the libraries listed below
Sorting:
- A list of papers for motor imagery using machine learning/deep learning.☆84Feb 22, 2021Updated 5 years ago
- This repository is the official implementation of “Different Set Domain Adaptation for Brain Computer Interfaces: A Label Alignment Appro…☆22Dec 25, 2021Updated 4 years ago
- In AugmentBrain we investigate the performance of different data augmentation methods for the classification of Motor Imagery (MI) data u…☆22Jun 7, 2021Updated 4 years ago
- The codes that I implemented during my B.Sc. project.☆23Feb 17, 2022Updated 4 years ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆54May 20, 2021Updated 4 years ago
- PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interface☆14Jan 15, 2021Updated 5 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆100Jan 11, 2023Updated 3 years ago
- ☆17Dec 16, 2024Updated last year
- paper for “Multiscale space-time-frequency feature-guided multitask learning CNN for motor imagery EEG classification”☆14Nov 2, 2020Updated 5 years ago
- Code for Cross-Task Neural Architecture Search for EEG Signals☆17Mar 7, 2023Updated 2 years ago
- End-to-End EEG Pipeline for cleaning, filtering, ICA, mass-univariate, and decoding analysis using MNE python☆24Jun 28, 2022Updated 3 years ago
- Seeking to recreate the work demonstrated in A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification by…☆18Jul 7, 2021Updated 4 years ago
- A new approach based on a 10-layer one-dimensional convolution neural network (1D-CNN) to classify five brain states (four MI classes pl…☆175May 30, 2022Updated 3 years ago
- Matlab source code of the paper "D. Wu, X. Jiang, R. Peng, W. Kong, J. Huang and Z. Zeng, Transfer Learning for Motor Imagery Based Brain…☆72Apr 23, 2023Updated 2 years ago
- ☆21Jun 22, 2022Updated 3 years ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆51Nov 25, 2024Updated last year
- Offical repository of the paper "EEG-DG：A Multi-Source Domain Generalization Framework for Motor Imagery EEG Classification" .☆29Apr 30, 2025Updated 10 months ago
- MMCNN: A Multi-branch Multi-scale Convolutional Neural Network for Motor Imagery Classification☆22Apr 18, 2022Updated 3 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆55Apr 16, 2021Updated 4 years ago
- Repo: IEEE TNSRE Article "Modeling EEG data distribution with a Wasserstein Generative Adversarial Network (WGAN) to predict RSVP Events"…☆20Oct 26, 2021Updated 4 years ago
- A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification☆194May 10, 2025Updated 9 months ago
- Official implementation of the paper "GANSER: A Self-supervised Data Augmentation Framework for EEG-based Emotion Recognition"☆76May 30, 2022Updated 3 years ago
- IEEE Transactions on Emerging Topics in Computational Intelligence☆73Apr 15, 2025Updated 10 months ago
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆30Aug 30, 2020Updated 5 years ago
- This repository save my work about GAN applied to motor imagery eeg signals☆39Jul 25, 2025Updated 7 months ago
- ☆70Dec 10, 2018Updated 7 years ago
- ☆133Dec 8, 2022Updated 3 years ago
- Code for extracting DE (differential entropy) and PSD (power spectral density) feature of signals.☆83Jul 12, 2020Updated 5 years ago
- Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals☆36Apr 22, 2025Updated 10 months ago
- ☆92Sep 5, 2021Updated 4 years ago
- code for LMDA☆88Jul 14, 2023Updated 2 years ago
- SfMEdu System from Princeton for Dense 3D Reconstruction☆11Dec 11, 2019Updated 6 years ago
- EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)☆44Aug 24, 2022Updated 3 years ago
- ☆10Dec 3, 2021Updated 4 years ago
- ☆49Sep 30, 2025Updated 5 months ago
- An open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learni…☆406Feb 27, 2024Updated 2 years ago
- Multisource Transfer Learning for Cross- Subject EEG Emotion Recognition☆41Jun 3, 2020Updated 5 years ago
- End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)☆103May 30, 2025Updated 9 months ago
- residual deep cnn and lstm for classifying SEED data☆13May 1, 2023Updated 2 years ago